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CTCelebal Technologies
Celebal TechnologiesIT Services

Analytics Engineer

Azure Data Engineering, Power BI

Location

Pune, Maharashtra, India

Work type

Onsite

Employment

Full Time

Experience

3-5 years

Compensation

Compensation not disclosed

Posted

2d ago

Summary and responsibilities

Role overview

Summary

We are seeking an Analytics Engineer with 3-5 years of experience in Data Engineering and Business Intelligence, specializing in Power BI and modern data engineering practices. The role involves designing, building, and managing end-to-end analytical data solutions, transforming raw data into scalable, governed, and high-performance analytics aligned with business objectives.

Job Overview
We are seeking an Analytics Engineer with 3-5 years of hands on experience spanning Data Engineering and Business Intelligence, with strong expertise in Power BI and modern data engineering practices.
The ideal candidate will be capable of designing, building, and managing end to end analytical data solutions, transforming raw data into scalable, governed, and high performance analytics that align with business objectives.

Key Responsibilities

Data Solution Architecture

  • Design and architect end to end analytics solutions, including data ingestion, transformation, storage, and reporting layers.

  • Develop and maintain robust data models (star/snowflake schemas) optimized for analytics and BI consumption.

  • Ensure alignment of data architecture with organizational reporting and governance standards.

  • Comfortable working with Azure DevOps and delivering solutions in an Agile/Scrum environment.

Data Engineering Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines for efficient data ingestion and transformation.

  • Work with cloud platforms (e.g., Azure) and modern data stacks (e.g., Databricks).

  • Handle structured and semi structured data from multiple enterprise systems.

  • Ensure data accuracy, integrity, security, and reconciliation across pipelines and databases.

  • Implement CI/CD, monitoring, and logging for data pipelines.

  • Optimize data processing performance and cost efficiency.

  • Troubleshoot and resolve bottlenecks in data pipelines and transformations.

  • Foster best practices in data engineering and analytics development.

Power BI & BI Development Responsibilities

  • Design, develop, deploy, and manage enterprise Power BI solutions, including dashboards, reports, and datasets.

  • Create interactive, intuitive, and business centric visualizations tailored to stakeholder needs.

  • Develop semantic models and optimize datasets for self service analytics.

  • Optimize Power BI performance using DAX, Power Query, query folding, aggregations, and dataflows.

  • Validate data sanity and ensure consistency across reports and source systems.

  • Implement and manage Row Level Security (RLS) and Power BI workspace governance.

  • Perform root cause analysis for data inconsistencies and anomalies.

  • Manage Power BI Service components (workspaces, gateways, deployments).

Stakeholder Collaboration

  • Collaborate with cross functional teams to gather requirements and translate business needs into technical solutions.

  • Partner with business users to define KPIs, metrics, and analytical use cases.

  • Educate non technical stakeholders on data usage, self service analytics, and insights interpretation.

  • Support UAT, audits, and management reviews.

Performance Optimization & Leadership

  • Continuously monitor and enhance system performance, scalability, and cost efficiency.

  • Troubleshoot and resolve performance issues across data pipelines, queries, and dashboards.

  • Lead and mentor BI / analytics developers, promoting best practices in data modeling, visualization, and engineering.

  • Contribute to analytics standards, documentation, and knowledge sharing initiatives.

Updated 2d ago

Candidate fit

Skills and qualifications

Additional skills

Power BI • 1+ yrs
DAX • 1+ yrs
Power Query • 1+ yrs
Dataflows • 1+ yrs
Power BI Service • 1+ yrs
SQL • 1+ yrs
Spark SQL • 1+ yrs
Python • 1+ yrs
PySpark • 1+ yrs
ETL/ELT pipelines • 1+ yrs
Data Modeling • 1+ yrs
Azure data services • 1+ yrs
Databricks • 1+ yrs
Query tuning • 1+ yrs
Aggregation strategies • 1+ yrs
Pipeline optimization • 1+ yrs
Data quality • 1+ yrs
Data validation • 1+ yrs
Data lineage • 1+ yrs
Data security • 1+ yrs
Data architecture • 1+ yrs
Data processing • 1+ yrs
Modern data stack • 1+ yrs
Scalability • 1+ yrs
Azure DevOps • 1+ yrs
Agile/Scrum • 1+ yrs
CI/CD • 1+ yrs
Data governance • 1+ yrs
Root cause analysis • 1+ yrs
DevOps • 1+ yrs
Testing and analysis • 1+ yrs
Project management • 1+ yrs
Communication • 1+ yrs
Analytical • 1+ yrs
Problem-solving • 1+ yrs
Ownership mindset • 1+ yrs
Attention to detail • 1+ yrs
Data accuracy • 1+ yrs
Leadership • 1+ yrs
Mentoring • 1+ yrs
Stakeholder collaboration • 1+ yrs
Cost efficiency • 1+ yrs
Planning and design • 1+ yrs
Troubleshooting • 1+ yrs
Audits • 1+ yrs
Customer self-service • 1+ yrs
Reporting • 1+ yrs
Self-service analytics • 1+ yrs
Use case • 1+ yrs

Experience

3-5 years

Certifications

Microsoft Certified: Power BI Data Analyst Associate (PL 300) • Required
Microsoft Certified: Azure Data Engineer Associate (DP 203/DP-700) • Required
Databricks Certified Data Engineer Associate • Required

How this role is positioned

Role classification

Job domains

IT & System Administration

Industries

Technology & IT

Employment

Full Time

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

Compensation not disclosed

VisibilityShared on listing
CurrencyUSD
PeriodYearly

Location, schedule, and role shape

Work setup

Work conditions

Primary locationPune, Maharashtra, India
Work typeOnsite
Global hiringNo

Bandwidth profile

peopleMedium7/10
physicalLow2/10
cognitiveHigh8/10
executionHigh8/10
creativityMedium6/10
uncertaintyMedium6/10
communicationMedium7/10

Context on the employer

Company snapshot

Company

Celebal Technologies

Team size

Growing team

Location

Pune, Maharashtra, India

Analytics Engineer

Pune, Maharashtra, IndiaFull Time